24 citations · 25 across the 2 of their papers we have counts for
3 papers
cs.CV2026
Morphology-aware deep learning predicts colorectal cancer survival from whole-slide images
Hikmat Khan, Metin N. Gurcan, Anil Parwani +3
Background: Five-year survival prediction from hematoxylin-and-eosin whole-slide images could support risk stratification, but the task is weakly supervised, and the tissue morphol…
cs.CV2023★ 1 cited
Cross-attention-based saliency inference for predicting cancer metastasis on whole slide images
Ziyu Su, Mostafa Rezapour, Usama Sajjad +3
Although multiple instance learning (MIL) methods are widely used for automatic tumor detection on whole slide images (WSI), they suffer from the extreme class imbalance within the…
cs.CV2023★ 24 cited
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images
Ziyu Su, Mostafa Rezapour, Usama Sajjad +2
Multiple instance learning (MIL) models have achieved remarkable success in analyzing whole slide images (WSIs) for disease classification problems. However, with regard to gigapix…